Two-Phase Results Summarization for Search Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing search engine systems face latency issues due to sequential operations in generating summaries for user queries, where summarization cannot begin until all results are retrieved, affecting the overall time to serve responses.
Innovation Solution
The architecture splits the generation of results summaries into two phases: a preliminary phase for quick summary generation and a second phase that runs in parallel with other modules, allowing for additional contextual information to improve summary quality, with the summaries from both phases being merged for final output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a single summarization phase is used, then the summary generation is simple and fast, but the overall latency increases because summarization cannot begin until all results are retrieved
Solution Approach 1:
The summarization process is divided into two distinct phases: a first summarization phase that generates preliminary summaries quickly, and a second summarization phase that generates more comprehensive summaries with additional contextual information. This segmentation allows the system to provide early results while maintaining the option to improve quality later, thereby reducing overall latency without requiring complete summarization before result delivery.
Solution Approach 2:
The first summarization phase performs preliminary summarization on retrieved results before all results are fully processed. This preliminary action enables the system to generate and return initial summaries to users while the second summarization phase continues to work on more comprehensive versions, effectively overlapping operations to reduce waiting time.
2Speed
If a first summarization phase is implemented for quick summary generation, then latency is reduced, but the summary content may be less comprehensive
Solution Approach 1:
The summarization process is divided into two distinct phases: a first summarization phase that generates preliminary summaries quickly, and a second summarization phase that generates more comprehensive summaries with additional contextual information. This segmentation allows the system to provide early results while maintaining the option to improve quality later, thereby reducing overall latency without requiring complete summarization before result delivery.
Solution Approach 2:
The system merges the outputs of the first summarization phase and the second summarization phase to produce final summaries. This merging combines the speed advantage of the first phase with the comprehensiveness of the second phase, ensuring that neither speed nor content completeness is sacrificed.
3Loss of time
If the second summarization phase is run in parallel with other modules, then latency is offset, but processing resources increase
Solution Approach 1:
The first summarization phase performs a partial summarization that is sufficient for immediate use but not exhaustive. This partial action reduces the computational burden compared to complete summarization, allowing the system to allocate resources efficiently while still providing useful results within acceptable timeframes.
Solution Approach 2:
The first summarization phase performs preliminary summarization on retrieved results before all results are fully processed. This preliminary action enables the system to generate and return initial summaries to users while the second summarization phase continues to work on more comprehensive versions, effectively overlapping operations to reduce waiting time.
4Productivity
If summaries are generated sequentially, then resource utilization is efficient, but the overall time to serve responses increases
Solution Approach 1:
The first summarization phase performs preliminary summarization on retrieved results before all results are fully processed. This preliminary action enables the system to generate and return initial summaries to users while the second summarization phase continues to work on more comprehensive versions, effectively overlapping operations to reduce waiting time.
Solution Approach 2:
The system maintains continuous useful action by overlapping the first and second summarization phases with other processing modules. Instead of waiting for complete summarization before returning results, the system continuously provides value through preliminary summaries while background processes continue to refine the content, maximizing productivity without sacrificing quality.
Data Source
AI summary
Architecture that splits the generation of results summaries into at least two phases for reduced latency and improved relevance. A first phase generates a summary quickly and thereby enables subsequent modules to begin processing. A second round then executes in parallel to these other modules to offset the latency. The second round can also provide additional contextual information to the summarization module to improve the quality (relevance) of the summaries. Ultimately, the summaries generated in the two phases are merged. The multiple rounds of summarization enable the first round to be cheaper in processing resources to save overall latency, whereas the second phase can be more expensive, since the second phase can be run in parallel with other modules. Additionally, contextual information can be used to build the full content summaries in the second round.


